| Title |
Supporting Municipal Greenhouse Gas (GHG) Emission Inventories Using Business Process Modeling: A Case Study of Trondheim Municipality |
| ID_Doc |
77967 |
| Authors |
Ahlers, D; Krogstie, J; Driscoll, P; Lundli, HE; Loveland, SJ; Rothballer, C; Wyckmans, A |
| Title |
Supporting Municipal Greenhouse Gas (GHG) Emission Inventories Using Business Process Modeling: A Case Study of Trondheim Municipality |
| Year |
2017 |
| Published |
|
| DOI |
10.1007/978-3-319-58457-7_30 |
| Abstract |
Business process modeling and business process management has been used to capture, support and improve a large variety of processes and practices in the private and public sector. Traditionally what is regarded as a good business process is strongly related to economic dimensions. With the increasing importance of assuring sustainable development, BPM techniques should to an increasing degree be able to be used to support the goal of sustainability of the supported or automated solution. This paper provides results from a case study in the Carbon Track and Trace (CTT) project on supporting the compilation and reporting of data on greenhouse gas (GHG) emissions on the city level in the form of GHG inventories. Although basic BPM-techniques are applicable on this levels, we have identified a number of challenges and potential improvements to represent the relevant aspects in such cases to support automated and semi-automated solutions. |
| Author Keywords |
Greenhouse gas inventories; City services; Sustainable business process modeling; Green IT; Workflow analysis |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S); Conference Proceedings Citation Index - Social Science & Humanities (CPCI-SSH) |
| EID |
WOS:000724486700033 |
| WoS Category |
Business; Computer Science, Artificial Intelligence; Computer Science, Information Systems; Computer Science, Theory & Methods; Management; Operations Research & Management Science |
| Research Area |
Business & Economics; Computer Science; Operations Research & Management Science |
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